{"id":"W2134327558","doi":"10.1109/rws.2013.6486673","title":"Predicting indoor performance of a 60 GHz WPAN","year":2013,"lang":"en","type":"article","venue":"","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Ray tracing (physics); Computer science; Electronic engineering; Antenna (radio); Acoustics; Radio propagation; Telecommunications; Engineering; Optics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002139004,0.00049502,0.0003107269,0.0002976385,0.0001897371,0.0003751327,0.000347922,0.0004353958,0.0006052349],"category_scores_gemma":[0.0006527487,0.0001857211,0.0001878302,0.0002984335,0.0002696426,0.0003971815,0.0002252799,0.0002348531,0.0003789091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003203319,"about_ca_system_score_gemma":0.0001743519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001864109,"about_ca_topic_score_gemma":0.001588783,"domain_scores_codex":[0.9998721,0.00002800739,0.000004755201,0.00002543166,0.00004907151,0.00002062935],"domain_scores_gemma":[0.9997776,0.0001200937,0.00002573574,0.00002641049,0.00003769425,0.00001246941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001508616,0.00005513242,0.01891407,0.00004341311,0.00002302196,0.000234756,0.00007569157,0.9287362,0.03162847,0.0004051143,0.000218111,0.01951524],"study_design_scores_gemma":[0.00001017292,0.000213529,0.0152826,0.000006587811,0.00002739448,0.00009006672,0.00006756058,0.9560611,0.0275094,0.0003093637,0.0004058234,0.00001646217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9626142,0.00007322971,0.03303643,0.00004611111,0.000009617454,0.00001606048,0.0001395994,0.0004873336,0.003577391],"genre_scores_gemma":[0.9969786,0.00005285347,0.002463301,0.000006581275,0.000002151088,0.000008269132,0.00006012713,0.00001722571,0.0004108693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001864109,"threshold_uncertainty_score":0.003706574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154148661717352,"score_gpt":0.1839012186375976,"score_spread":0.172359732020424,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}